UT researchers developed a new 3D printing method that can create an object with components of varying hardness and ...
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 ...