Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Inspection of stability of a general roll-damping of a ship via non-perturbative approach. [PDF]
Moatimid GM, Mohamed MAA, Abohamer MK.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
EMG-Driven Musculoskeletal Modelling Framework for Virtual Simulation of Upper Limb Activation-Modulated Impairment Scenarios. [PDF]
Cicėnas D, Daunoravičienė K.
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Synergistic coupling of structure, dynamics and electronics during the glass transition of rapidly quenched Li<sub>17</sub>Pb<sub>83</sub>: a GPW-AIMD study. [PDF]
Lin S +5 more
europepmc +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Neural Oscillatory Dynamics in Joint Action: Dissociable Roles of Entrainment and Beta Modulation in Self-Other Integration. [PDF]
Rosso M +5 more
europepmc +1 more source
A novel soft robotic propeller overcomes traditional efficiency‐flexibility tradeoffs via a hybrid pneumatic‐cable actuation strategy. This architecture enables active stiffness modulation with dual‐mode locomotion: tunable biomimetic swimming and earthworm‐inspired wriggling for confined spaces.
Jiazi Geng +6 more
wiley +1 more source
Bacterial turbulence drives interfacial waves and shape dynamics in phase-separated droplets. [PDF]
Chang K +5 more
europepmc +1 more source

