Results 241 to 250 of about 5,446,897 (300)

Regioselective π‐Extension of Helical PAHs: Tuning Energy Gaps and Excited‐State Dynamics Directed by Clar's Sextet Migration

open access: yesAdvanced Optical Materials, EarlyView.
Central and terminal ring fusions of per‐peri‐perbenzo[7]helicene (PB[7]H) yield novel helical polycyclic aromatic hydrocarbons (HPAHs). The migration of Clar's aromatic sextets governs the inner‐rim stiffness. This topology‐directed strategy bridges the discrete optical gaps of homologous series. Transition moment density (TMD) analysis visualizes the
Zhibo Liu   +3 more
wiley   +1 more source

Remembering the "when": Hebbian memory models for the time of past events. [PDF]

open access: yesPLoS Comput Biol
Brea J   +3 more
europepmc   +1 more source

Electrically Reconfigurable Optical Initialization of Spin Valley Polarization in Monolayer WS2 Enabled by Switchable Dual‐Mode Liquid Crystal Lasers

open access: yesAdvanced Optical Materials, EarlyView.
This work presents an electrically controllable approach to spin–valley polarization in monolayer WS2 by integrating it with a dual‐mode liquid crystal laser. Applying an external field triggers phase transitions that switch the laser emission between helicity‐defined band‐edge lasing and unpolarized random lasing.
Yu‐Chuan Tsao   +3 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

open access: yesAdvanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo   +6 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

Open Mesh Repair of a Primary Grynfelt-Lesshaft Hernia: A Case Report and Literature Review. [PDF]

open access: yesCureus
De León Rosas DA   +4 more
europepmc   +1 more source

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