Venus Aerospace announced that it's successfully ran the first long-duration engine test of their Rotating Detonation Rocket Engine in partnership with DARPA. Screenshot via Venus Aerospace

A Houston tech company working on an engine to enable hypersonic flights has reported its latest milestone.

Venus Aerospace announced that it's successfully ran the first long-duration engine test of their Rotating Detonation Rocket Engine in partnership with Defense Advanced Research Projects Agency, or DARPA.

The RDRE engine Venus is working on is uniquely designed and a first in the field. It has an additional 15 percent efficiency over traditional rocket engines.

"As we continue to push towards our ultimate mission of high-speed global flight, this is an important technical milestone for having a flight-ready engine," Andrew Duggleby, CTO and co-founder of Venus Aerospace, says in the news release. "I'm incredibly proud of our team as they continue to push forward on this world-changing technology."

The test results are a big win, as the RDRE had previously only been tested in a short-duration capacity. DARPA is just one of several U.S. Government agencies that has contracts with Venus.

"The successful test is a testament to our team's dedication and expertise. We're building something special here at Venus, in large part because we have the right people and the right partners," Sassie Duggleby, CEO and co-founder of Venus Aerospace, adds. "I can't say enough about our collaboration with DARPA and the role they played in helping us make this leap forward."

Last summer, Venus added a new investor to its cap table. Andrew Duggleby founded Venus Aerospace with his wife and CEO Sassie in 2020, before relocating to the Houston Spaceport in 2021. Last year, Venus raised a $20 million series A round. Sassie joined the Houston Innovators Podcast a year ago to explain her company's mission of "home for dinner."

DARPA Partnership Long-Duration Testwww.youtube.com

Rice has developed a COVID diagnostic test that uses a cell phone. Photo courtesy of Rice University

Rice University develops 2 new innovative tools to detect COVID-19

pandemic tech

Rice University is once again spearheading research and solutions in the ongoing battle with COVID-19. The university announced two developing innovations: a "real-time sensor" to detect the virus and a cellphone tool that can detect the disease in less than an hour.

Sensing COVID
Researchers at Rice received funding for up to $1 million to develop the real-time sensor that promises to detect minute amounts of the airborne virus.

Teams at Rice and the University of Texas Medical Branch (UTMB) at Galveston are working to develop a thin film electronic device that senses as few as eight SARS-CoV-2 viruses in 10 minutes of sampling air flowing at 8 liters per minute, per a press release.

Dubbed the Real-Time Amperometric Platform Using Molecular Imprinting for Selective Detection of SARS-CoV-2 (or, RAPID), the project has been funded by the Defense Advanced Research Projects Agency (DARPA), Rice notes. Further funding will be contingent upon a successful demonstration of the technology.

Attacking with an app
Meanwhile, the university announced that its engineers have developed a plug-in tool that can diagnose COVID-19 in around 55 minutes. The tool utilizes programmed magnetic nanobeads and a tool that plugs into a basic cellphone.

First, a stamp-sized microfluidic chip measures the concentration of SARS-CoV-2 nucleocapsid protein in blood serum from a standard finger prick.

Then, nanobeads bind to SARS-CoV-2 N protein, a biomarker for COVID-19, in the chip and transport it to an electrochemical sensor that detects minute amounts of the biomarker. Paired with a Google Pixel 2 phone and a plug-in tool, researchers quickly secured a positive diagnosis.

This, researchers argue, simplifies sample handling compared to swab-based PCR tests that must be analyzed in a laboratory.

"What's great about this device is that it doesn't require a laboratory," said Rice engineer Peter Lillehoj in a statement. "You can perform the entire test and generate the results at the collection site, health clinic or even a pharmacy. The entire system is easily transportable and easy to use."

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This article originally ran on CultureMap.

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Houston researchers create AI model to tap into how brain activity relates to illness

brainiac

Houston researchers are part of a team that has created an AI model intended to understand how brain activity relates to behavior and illness.

Scientists from Baylor College of Medicine worked with peers from Yale University, University of Southern California and Idaho State University to make Brain Language Model, or BrainLM. Their research was published as a conference paper at ICLR 2024, a meeting of some of deep learning’s greatest minds.

“For a long time we’ve known that brain activity is related to a person’s behavior and to a lot of illnesses like seizures or Parkinson’s,” Dr. Chadi Abdallah, associate professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor and co-corresponding author of the paper, says in a press release. “Functional brain imaging or functional MRIs allow us to look at brain activity throughout the brain, but we previously couldn’t fully capture the dynamic of these activities in time and space using traditional data analytical tools.

"More recently, people started using machine learning to capture the brain complexity and how it relates it to specific illnesses, but that turned out to require enrolling and fully examining thousands of patients with a particular behavior or illness, a very expensive process,” Abdallah continues.

Using 80,000 brain scans, the team was able to train their model to figure out how brain activities related to one another. Over time, this created the BrainLM brain activity foundational model. BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies.

Abdallah said that using BrainLM will cut costs significantly for scientists developing treatments for brain disorders. In clinical trials, it can cost “hundreds of millions of dollars,” he said, to enroll numerous patients and treat them over a significant time period. By using BrainLM, researchers can enroll half the subjects because the AI can select the individuals most likely to benefit.

The team found that BrainLM performed successfully in many different samples. That included predicting depression, anxiety and PTSD severity better than other machine learning tools that do not use generative AI.

“We found that BrainLM is performing very well. It is predicting brain activity in a new sample that was hidden from it during the training as well as doing well with data from new scanners and new population,” Abdallah says. “These impressive results were achieved with scans from 40,000 subjects. We are now working on considerably increasing the training dataset. The stronger the model we can build, the more we can do to assist with patient care, such as developing new treatment for mental illnesses or guiding neurosurgery for seizures or DBS.”

For those suffering from neurological and mental health disorders, BrainLM could be a key to unlocking treatments that will make a life-changing difference.

Houston-based cleantech unicorn named among annual top disruptors

on the rise

Houston-based biotech startup Solugen is making waves among innovative companies.

Solugen appears at No. 36 on CNBC’s annual Disruptor 50 list, which highlights private companies that are “upending the classic definition of disruption.” Privately owned startups founded after January 1, 2009, were eligible for the Disruptor 50 list.

Founded in 2016, Solugen replaces petroleum-based products with plant-derived substitutes through its Bioforge manufacturing platform. For example, it uses engineered enzymes and metal catalysts to convert feedstocks like sugar into chemicals that have traditionally been made from fossil fuels, such as petroleum and natural gas.

Solugen has raised $643 million in funding and now boasts a valuation of $2.2 billion.

“Sparked by a chance medical school poker game conversation in 2016, Solugen evolved from prototype to physical asset in five years, and production hit commercial scale shortly thereafter,” says CNBC.

Solugen co-founders Gaurab Chakrabarti and Sean Hunt received the Entrepreneur of The Year 2023 National Award, presented by professional services giant EY.

“Solugen is a textbook startup launched by two partners with $10,000 in seed money that is revolutionizing the chemical refining industry. The innovation-driven company is tackling impactful, life-changing issues important to the planet,” Entrepreneur of The Year judges wrote.

In April 2024, Solugen broke ground on a Bioforge biomanufacturing plant in Marshall, Minnesota. The 500,000-square-foot, 34-acre facility arose through a Solugen partnership with ADM. Chicago-based ADM produces agricultural products, commodities, and ingredients. The plant is expected to open in the fall of 2025.

“Solugen’s … technology is a transformative force in sustainable chemical manufacturing,” says Hunt. “The new facility will significantly increase our existing capabilities, enabling us to expand the market share of low-carbon chemistries.”

Houston cleantech company tests ​all-electric CO2-to-fuel production technology

RESULTS ARE IN

Houston-based clean energy company Syzygy Plasmonics has successfully tested all-electric CO2-to-fuel production technology at RTI International’s facility at North Carolina’s Research Triangle Park.

Syzygy says the technology can significantly decarbonize transportation by converting two potent greenhouse gases, carbon dioxide and methane, into low-carbon jet fuel, diesel, and gasoline.

Equinor Ventures and Sumitomo Corp. of Americas sponsored the pilot project.

“This project showcases our ability to fight climate change by converting harmful greenhouse gases into fuel,” Trevor Best, CEO of Syzygy, says in a news release.

“At scale,” he adds, “we’re talking about significantly reducing and potentially eliminating the carbon intensity of shipping, trucking, and aviation. This is a major step toward quickly and cost effectively cutting emissions from the heavy-duty transport sector.”

At commercial scale, a typical Syzygy plant will consume nearly 200,000 tons of CO2 per year, the equivalent of taking 45,000 cars off the road.

“The results of this demonstration are encouraging and represent an important milestone in our collaboration with Syzygy,” says Sameer Parvathikar, director of renewable energy and energy storage at RTI.

In addition to the CO2-to-fuel demonstration, Syzygy's Ammonia e-Cracking™ technology has completed over 2,000 hours of performance and optimization testing at its plant in Houston. Syzygy is finalizing a site and partners for a commercial CO2-to-fuel plant.

Syzygy is working to decarbonize the chemical industry, responsible for almost 20 percent of industrial CO2 emissions, by using light instead of combustion to drive chemical reactions.

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This article originally ran on EnergyCapital.