Materials Literature
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Hydrogel-based wound dressings have attracted sustained interest due to their ability to support fibroblast proliferation and maintain a moist healing environment; however, achieving simultaneous antibacterial efficacy, mechanical robustness, and biocompatibility. In response to these limitations, we report a multifun…
This Perspective introduces engineered limestone, a geo- and bio-inspired strategy that uses industrial carbon dioxide to harden reactive minerals and wastes into durable construction products, helping close the carbon loop.
How should we assess whether large language models can perform mathematical invention? I argue that this question is currently underspecified: mathematical creativity is not one capacity but several mechanistically distinct modes of meaning-making - reflexive introspection on mathematical practice, analogical import f…
Abstract Micro‐ and nanoplastics (MNPs) have become pervasive environmental contaminants with increasing evidence linking them to adverse health outcomes. As ingestion constitutes a primary exposure route, the gastrointestinal tract represents a critical biological interface for MNPs‐host interactions and subsequent p…
The blood-brain barrier (BBB) limits the therapeutic efficacy of many pharmacologically active substances, making brain-targeted delivery of drugs an important challenge. Lipid-based nanocarriers, notably solid lipid nanoparticles (SLN) and nanostructured lipid carriers (NLC), have emerged as viable approaches to over…
Accurate protein structure prediction is fundamental to structural biology because protein structure underlies molecular function and provides a basis for mechanistic interpretation. Recent advances in deep learning have transformed the field from multiple sequence alignment (MSA)-driven monomer folding into broader f…
In this work, we adopt a finite strain computational homogenization approach to characterize the response of semi-flexible biopolymer networks modeled as idealized 8- and 14-chain periodic networks. We use the geometrically exact special Cosserat rod theory to model the microscale fibers forming these 8- and 14-chain…
Supplementary Material 1
Reliable optimization is central to neural network (NN) training, yet Adam, the default optimizer for modern LLMs, rests on a fragile foundation. This thesis develops a principled grounding for Adam and motivates new designs. First, we revisit Adam's divergence--convergence debate and show the existence of a problem-d…
In this work, a novel phase-field method is proposed for the six- and seven-equation non-equilibrium models for simulating compressible two-phase flows. Such formulations allow for monotonic mixture speed of sound, minimizing artificial wave delay during transmission across an interface. The proposed phase field formu…
This paper studies the problem of molecule-text alignment, which aims to project molecules and their textual descriptions into a joint latent space for downstream tasks including molecule search and molecular property prediction. Previous approaches typically combine graph structure mining with contrastive learning to…
Born in London in 1953 and raised in Australia, Phil Bourne spent over four decades in science moving across scales: from crystal structures to the world's premier structural biology database; from scientific journals to national data policy; from molecules to institutions. The International Society for Computational…
Microbial-mediated plastic degradation has the potential to address the persistent global problems of plastic waste and pollution. Previous work has shown that soils can harbour microbes capable of plastic degradation, but we expect there is a broader diversity of soil microbes capable of metabolizing plastics than id…
We present MoMPy, an open-source Python package that provides a unified, declarative construction of moment matrices for semidefinite programming (SDP) hierarchies. The user declares operator labels together with a small set of structural relations, and MoMPy returns a matrix of SDP variable indices in which every imp…
Natural products (NPs) have traditionally been the primary source for modern pharmacotherapy. The recent integration of artificial intelligence (AI) and machine learning (ML) with molecular language processing represents a revolutionary opportunity in accelerating the discovery of drug leads from natural products, lev…
The chemical process industry is indispensable to modern society but involves inherent risks associated with toxic, flammable, reactive and corrosive substances, high pressures and temperatures, complex process interactions and large inventories. Although major accidents are relatively infrequent, their consequences m…
Temporary protective coatings are widely used in modern production processes. Yet, while highly desirable, their high-resolution printing and stimuli-responsive removal remain challenging. To address this need, we introduce acrylate-based photopolymerized and photoreversible protective films that can be applied using…
We investigate the emergence of a scarred discrete time crystal (SDTC) phase in a periodically driven dimerized spin chain. While generic interacting Floquet systems are expected to thermalize according to the eigenstate thermalization hypothesis (ETH), we demonstrate that this system hosts quantum many-body scars (QM…
Supplementary Material 1.
ABSTRACT Lithium argyrodites hold great promise as solid electrolytes for all‐solid‐state batteries (ASSBs) owing to their high room‐temperature ionic conductivity and soft mechanical properties. However, their poor air stability hinders large‐scale commercial applications. To overcome this, we demonstrate herein a hi…