Researchers at the University of California, Davis have developed a nanoparticle system combining photothermal therapy and chemotherapy for enhanced cancer treatment.

A novel polymer-based fluorescent sensor that enables real-time local sensing of water activity at all pH levels with high spatial resolution for use in carbon removal technologies.

An innovative advanced material coating with superior cooling performance across all wavelengths that is crucial for energy consumption and heat management applications.

      State-of-the-art scanning probe microscopy (SPM) systems, including microwave impedance microscopy (MIM) and near-field scanning microscopy (NSOM), typically operate in a dynamic, non-contact “tapping” mode. Lock-in detection at the probe cantilever’s resonant mechanical oscillation frequency mitigates effects of drift and achieves high measurement sensitivity of local material characteristics. Electrical, mechanical, or other material properties can be measured down to the nanoscale. However, a full time-domain tip-sample response would yield a much richer data set. Unfortunately, existing methodologies require moving the entire scan head to sweep the tip-sample separation at rates far below the resonant frequency of the cantilever or tuning fork—yielding slow scan speeds and outputs vulnerable to drift, 1/f noise, and stray coupling.       To overcome these challenges, UC Berkeley researchers have leveraged high-speed data acquisition, wideband detection electronics, and modern real-time computing to acquire hyperspectral datasets at twice the mechanical resonant frequency of the probe. The invention captures up to hundreds of thousands of curves per second, without sacrificing scan speed, resolution, or stability. It can be straightforwardly integrated on most commercial SPM platforms, and for a wide range of resonantly driven probes, including cantilevers, quartz tuning forks, and qPlus sensor. Among other benefits, the technique enables novel post-processing capabilities, including retrospective enhancement of spatial resolution.

This invention introduces a novel approach to cardiac tissue stimulation and maturation through the use of photoactive organic and biological material blends.

This technology addresses the challenge of selectively separating precious and high-value metals from various fluid streams. Researchers at UC Berkeley have developed novel polymer absorbents and composite membranes for the efficient and selective separation of these metals from samples or fluid streams. This innovation provides a more effective and precise method for metal recovery compared to existing separation techniques.

The global demand for seaweed in food, biomaterials, and energy is rapidly increasing, yet commercial cultivation is often limited by high mortality rates due to disease and suboptimal nutrient conditions, presenting a major bottleneck for the industry. This innovation, developed by UC Berkeley researchers, addresses this problem by introducing a novel Probiotic-Mineral Bioformulation Embedded in Seaweed-Derived Polymers designed for enhanced and targeted inoculation of seaweed culture lines. This bioformulation encapsulates beneficial probiotic bacteria and essential micronutrients (minerals) within a protective, naturally sourced, and biodegradable polymer matrix. Unlike traditional methods that rely on simple, often inefficient, direct immersion or broth application of probiotics, this technology ensures sustained release and enhanced adhesion of the beneficial agents directly onto the seaweed seedlings or culture environment. This protective delivery mechanism significantly increases the survival rate and efficacy of the inoculum, leading to healthier, faster-growing, and more resilient seaweed biomass compared to standard cultivation practices.

The challenge in utilizing α-Linolenic acid (ALA) for medical adhesives has been its poor water solubility and the high hydrophobicity of poly(ALA), typically necessitating elevated temperatures, organic solvents, or complex preparation methods for tissue application. UC Berkeley researchers have developed ALA-based powder and low-viscosity liquid superglues that overcome this limitation by polymerizing and bonding rapidly upon contact with wet tissue. The versatile adhesives are formulated using a monomeric mixture of ALA, sodium lipoate, and an activated ester of lipoic acid. These adhesives demonstrate high flexibility, cell and tissue compatibility, biodegradability, and potential for sustained drug delivery as a small molecule regenerative drug was successfully incorporated and released without altering the adhesive's properties. Additionally, the inherent ionic nature of the adhesives provides high electric conductivity and sensitivity to deformation, enabling their use as a tissue-adherent strain sensor.

Current α-linolenic acid (ALA)-based medical adhesives are limited by ALA's poor water solubility and poly(ALA)'s hydrophobicity, often requiring elevated temperatures, organic solvents, or complex preparations for delivery to biological tissue. This innovation reports on ALA-based powder and low-viscosity liquid superglues that polymerize and bond rapidly upon contact with wet tissue. Developed by UC Berkeley researchers, the versatile adhesives use a monomeric mixture of ALA, sodium lipoate, and an activated ester of lipoic acid, which grants them high flexibility as confirmed by stress-strain measurements on wet adhesives. The adhesive is cell and tissue-compatible, biodegradable, and can sustain drug delivery as a small molecule regenerative drug was successfully incorporated and released without altering its physical or adhesive properties. Furthermore, the inherent ionic nature of the adhesive gives it high electric conductivity and sensitivity to deformation, enabling its use as a tissue-adherent strain sensor.

The invention addresses the problem of recycling high-performance thermosets by developing a chemical process to deconstruct cycloolefin resins (CORs) that contain dicyclopentadiene (DCPD) crosslinkers. This process, developed by UC Berkeley researchers, uses a second-generation Hoveyda–Grubbs ruthenium(II) alkylidene catalyst for deconstruction via ring-closing metathesis. The method selectively reforms the cyclopentene ring in DCPD, allowing the resulting linear polyDCPD chains to be reused in new manufacturing cycles. This enables resin-to-resin circularity, with up to 84% of the linear DCPD being retrievable from end-of-life thermosets. The properties of the recycled material are comparable to the original, and the process works on various commercial and model CORs.

A novel approach to polymer compatibilization that enhances mechanical strength and compatibility across diverse polymer blends.

A novel dendronized polypeptide architecture for efficient and safe mRNA delivery, suitable for anti-tumor immunotherapy.

Traditional hydraulic actuators can be rigid, bulky, and difficult to integrate into flexible or small-scale applications, limiting their use in emerging fields like soft robotics and haptic feedback. This innovation, developed by UC Berkeley researchers, is a Flexible Hydraulic Actuator Based on Electroosmotic Pump. It addresses this limitation with a compact, flexible design that uses an electroosmotic pump (EOP) to achieve controlled shape changes. This unique structure allows the actuator to be configured to change its shape, color, and optical characteristics with low power consumption, offering a distinct advantage in flexibility and miniaturization over conventional actuators.

A novel technique for the safe and efficient production of neodymium oxide microspheres, serving as a non-radioactive surrogate for americium oxide synthesis.

Researchers at the University of California, Davis have developed a photothermal patterning flow cell that enables precise and efficient patterning of polymer films, compatible with existing cleanroom photolithography equipment.

Researchers at the University of California, Davis have developed an algorithm for designing and identifying complex structures having custom release profiles for controlled drug delivery.

This technology capitalizes on azide-masked nitrene crosslinking chemistry to introduce a scalable and efficient method for the compatibilization and recycling of mixed plastics.

      Molecular dynamics (MD) is a computational materials science modality widely used in academic and industrial settings for materials discovery and more. A critical aspect of modern MD calculations are machine learning interatomic potentials (MLIPs), which learn from reference quantum mechanical calculations and predict the energy and forces of atomic configurations quickly. MLIPs allow for more accurate and comprehensive exploration of material/molecular properties at-scale. However, state-of-the-art MLIP methods mostly use a short-range approximation, which may be sufficient for describing properties of homogeneous bulk systems but fail for liquid-vapor interfaces, dielectric response, dilute ionic solutions with Debye-Huckel screening, and interactions between gas phase molecules. Short-range MLIPs neglect all long-range interactions, such as Coulomb and dispersion interactions.      To address the current shortcoming, UC Berkeley researchers have developed a straightforward and efficient algorithm to account for long-range interactions in MLIPs. The algorithm can predict system properties including those with charged, polar or apolar molecular dimers, bulk water, and water-vapor interfaces. In these cases standard short-range MLIPs lead to unphysical predictions, even when utilizing message passing algorithms. The present method eliminates artifacts while only about doubling the computational cost. Furthermore, it can be incorporated into most existing MLIP architectures, including potentials based on local atomic environments such as HDNPP, Gaussian Approximation Potentials (GAP), Moment Tensor Potentials (MTPs), atomic cluster expansion (ACE), and MPNN (e.g., NequIP, MACE).

The disposal and recycling of polyolefins (like polyethylene and polypropylene) present a significant environmental and economic challenge, as current recycling methods are often costly and energy-intensive, or result in lower-value products. UC Berkeley researchers have developed innovative methods for converting polyolefins into valuable light olefins such as propylene and isobutylene. This innovation uses base-metal heterogeneous catalysts to convert polyethylene into propylene and a C3 to C30 alkene, and to convert polypropylene into a high-yield mixture of propylene and isobutylene. A key advantage of this method is the ability to achieve high conversion yields at significantly lower reaction temperatures compared to existing technologies, offering a more efficient and sustainable route to upcycle plastic waste into high-demand chemical feedstocks.

Researchers at UC Irvine have developed a new method to 3D-print free-form silica glass materials which produces products with unparalleled purity, optical clarity, and mechanical strength under far milder conditions than currently available techniques. The novel processing method has potential to radically transform microsystem technology by enabling development of silica-based microsystems.

The rippled sheet was proposed by Pauling and Corey as a structural class in 1953. Following approximately a half century of only minimal activity in the field, the experimental foundation began to emerge, with some of the key papers published over the course of the last decade. Researchers at UC Santa Cruz have explored the structure of and have discovered ways to form new beta rippled sheets. 

Professor Matthew Conley from the University of California, Riverside has discovered that catalysts used to generate polyolefin plastics also perform well in hydrotreatment reactions of plastic waste. This method works by treating plastic materials with known catalysts at 200⁰C to degrade  polymers into smaller alkanes in the presence of hydrogen. This technology is advantageous compared to existing methods since it does not require high temperatures​, has a relatively high yield (+80%)​, and can be applied to a variety of plastics to generate a feedstock of smaller polymers and monomers for further processing.  

Water-based viscoelastic liquids that are highly enriched in polyelectrolytes are attractive for a number of applications including low-surface tension materials useful in industries such as cosmetics and food science. In nature, polyelectrolyte-based viscoelastic liquids are used by organisms as underwater adhesives in salt-water environments. Such viscoelastic liquids, called coacervates, typically form with electronically inactive polyelectrolyte.An electronically active coacervate could enable such applications such as electrically conducting underwater adhesives and water-based photoactive viscoelastic pastes. This could be useful for environmentally benign soldering materials, sensing, color-sensitive coatings and the enhancemeent of photochemically driven chemical reactions. A research team at UC Santa Cruz has designed a series of conjugated polyelectrolytes (CPEs) that can form electronically active liquid coacervate phases. 

Volumetric additive manufacturing and vat-polymerization 3D printing methods rapidly solidify freeform objects via photopolymerization, but problematically raises the local temperature in addition to degree-of-conversion (DOC). The generated heat can critically affect the printing process as it can auto-accelerate the polymerization reaction, trigger convection flows, and cause optical aberrations. Therefore, temperature measurement alongside conversion state monitoring is crucial for devising mitigation strategies and implementing process control. Traditional infrared imaging suffers from multiple drawbacks such as limited transmission of measurement signal, material-dependent absorptions, and high background signals emitted by other objects. Consequently, a viable temperature and DOC monitoring method for volumetric 3D printing doesn’t exist.To address this opportunity, UC Berkeley researchers have developed a tomographic imaging technique that detects the spatiotemporal evolution of temperature and DOC during volumetric printing. The invention lays foundations for the development of volumetric measurement systems that uniquely resolve both temperature and DOC in volumetric printing.This novel Berkeley measurement system is envisaged as an integral tool for existing manufacturing technologies, such as computed axial lithography (CAL, Tech ID #28754), and as a new research tool for commercial biomanufacturing, general fluid dynamics, and more.

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