New theoretical physics research introduces a simulation method of machine-learning-based effective Hamiltonian for ...
Bringing together soft, malleable living cells with hard, inflexible electronics can be a difficult task. UChicago researchers have developed a new method to face this challenge by utilizing ...
Researchers present ARES (Atomic Rotationally Equivariant Scorer) – a machine learning method that significantly improves the computational prediction of RNA structures over previous approaches. Like ...
“Directed self-assembly (DSA) of block copolymers (BCPs) has long been included in the semiconductor roadmap as a lithographic pathway to enable continued device scaling. Tremendous progress has been ...
The capsid of the hepatitis B virus has a very unique structure. It is composed of many monomers which interact to provide flexibility to its structure and function. Hepatitis B virus (HBV) is a ...
In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...
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