The realization of chiral and non-reciprocal excitations in inorganic crystalline materials necessitates the development of new atomically-precise chiral solid state crystals and understand their fundamental optical/electronic states that arise from the resulting...
The paper describes the use of a short protein (peptide) sequence feature to control self-assembly using pH. We showed that this control allows access to structures unprecedented in nature or computationally designed protein assemblies. The resulting nanowires are...
Spin–orbit torques enable energy-efficient manipulation of magnetization by electric current and hold promise for applications ranging from non-volatile memory to neuromorphic computing. A team lead by Prof. Ilya Krivorotov of the CCAM seed project discovered a new...
Disulfide hydrogels, based on cysteine-driven redox systems, exhibit remarkable self-assembly properties through reversible disulfide bond formation, making them a promising platform for dynamic material design. A research team from IRG-2, led by Prof....
An IRG2 team, led by Prof. Sahar Sharifzadeh (Boston University) and Prof. Stacy Copp (University of California, Irvine), has developed an approach that integrates machine learning with density functional theory (DFT) calculations to study dynamic...
