<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Chao Ma</style></author><author><style face="normal" font="default" size="100%">Ke Yin</style></author><author><style face="normal" font="default" size="100%">Zhuoyu Zhang</style></author><author><style face="normal" font="default" size="100%">Ruyi Huang</style></author><author><style face="normal" font="default" size="100%">Yuangen Huang</style></author><author><style face="normal" font="default" size="100%">Gan, Lanyue</style></author><author><style face="normal" font="default" size="100%">Liu, Yuxuan</style></author><author><style face="normal" font="default" size="100%">Fan Xia</style></author><author><style face="normal" font="default" size="100%">Xia, Tian</style></author><author><style face="normal" font="default" size="100%">Yufan Chen</style></author><author><style face="normal" font="default" size="100%">Wangchang Li</style></author><author><style face="normal" font="default" size="100%">Peng, Lian-Mao</style></author><author><style face="normal" font="default" size="100%">Tianyu Dong</style></author><author><style face="normal" font="default" size="100%">Hu, Youfan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Critical point–based wireless sensors enabling tiny perturbation detection</style></title><secondary-title><style face="normal" font="default" size="100%">Science Advances</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2026</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.science.org/doi/abs/10.1126/sciadv.aea6541</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">21</style></number><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">eaea6541</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">High quality factor and sensitivity are critical to wireless sensors targeting small perturbation detection. Although introducing parity-time symmetric dynamics promises enhanced performance, the symmetric scheme often yields limited sensing behaviors. In particular, its implementation is hindered by the inherent difficulties in decoupling capacitance- and coupling strength–induced responses, the requirements of delicately matching and/or tuning both gain and loss, and the need of strong coupling strength. Here, we report a concept of critical point (CP)–based wireless sensors that do not rely on balanced gain-loss configurations, delivering ultrahigh quality factor with an extended interrogation distance. Owing to a sharp and deep reflection dip, the CP-based scheme can resolve the change in coupling coefficient down to 1.92&amp;amp;nbsp;×&amp;amp;nbsp;10−4 and features frequency-independent responses. Furthermore, the CP-based scheme allows for identification of tiny asymmetric capacitive perturbations as small as 2.5&amp;amp;nbsp;×&amp;amp;nbsp;10−5 without requiring active tuning of the other parameters under weak coupling. Critical-point wireless sensors with unbalanced gain and loss enable reliable and sensitive detection under weak coupling.</style></abstract></record></records></xml>